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    Home / Central Data Catalog / MMR_2015_MPLCS_V01_M / variable [F11]
central

Poverty and Living Conditions Survey 2014-2015

Myanmar, 2015
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Reference ID
MMR_2015_MPLCS_v01_M
DOI
https://doi.org/10.48529/tyd0-f528
Producer(s)
World Bank
Collection(s)
Fragility, Conflict and Violence
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jul 16, 2021
Last modified
Jul 16, 2021
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  • Study Description
  • Data Description
  • Documentation
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  • Data files
  • 01_world_bank_mplcs-hh_all_data_set.dta
  • 02_world_bank_mplcs-hh_member.dta
  • 03_world_bank_mplcs-hh_3b_health_care.dta
  • 04_world_bank_mplcs-hh_q5b_remittance.dta
  • 05_world_bank_mplcs-hh_sec-7_hh_assets.dta
  • 07_world_bank_mplcs-hh_sec-8b_non_food_consumption_last_30_days.dta
  • 08_world_bank_mplcs-hh_sec-8c_non_food_expenditure_in_6_months.dta
  • 09_world_bank_mplcs-hh_sec-8c_non_food_expenditure_in_12_months.dta
  • 10_world_bank_mplcs-hh_sec-9b_non_farm_enterprise.dta
  • 11_world_bank_mplcs-hh_sec-10a_parcel.dta
  • 12_world_bank_mplcs-hh_sec-10b_inputs.dta
  • 13_world_bank_mplcs-hh_sec-10c_labour.dta
  • 14_world_bank_mplcs-hh_sec-10d_harvest_&_crop_disposition.dta
  • 15_world_bank_mplcs-hh_sec-10e_livestock.dta
  • 16_world_bank_mplcs-hh_sec-10f_machinery_&_equip.dta
  • 17_world_bank_mplcs-hh_sec-10g_boat.dta
  • 18_world_bank_mplcs-hh_sec-10g_assets.dta
  • 19_world_bank_mplcs-hh_sec-11a_loans.dta
  • MPLCS_povdata.dta
  • 06_world_bank_mplcs-hh_sec-8a_food_consumption.dta

Q10a.19.3.Rent/lease cost for this plot [Wet season] (q10a_19_3)

Data file: 11_world_bank_mplcs-hh_sec-10a_parcel.dta

Overview

Valid: 76
Invalid: 2545
Minimum: 0
Maximum: 3600000
Type: Discrete
Decimal: 0
Start: 105
End: 111
Width: 7
Range: 0 - 3600000
Format: Numeric

Questions and instructions

Literal question
Q10a.19.3.How much do you pay for this plot of land in each season? {WET SEASON}[KYAT PER SEASON]
Categories
Value Category Cases
0 16
21.1%
6000 1
1.3%
15000 3
3.9%
25000 3
3.9%
30000 3
3.9%
35000 1
1.3%
40000 1
1.3%
50000 7
9.2%
60000 2
2.6%
62500 2
2.6%
70000 3
3.9%
75000 2
2.6%
80000 1
1.3%
100000 9
11.8%
120000 1
1.3%
122500 1
1.3%
125000 1
1.3%
135000 1
1.3%
150000 3
3.9%
160000 1
1.3%
180000 4
5.3%
190000 1
1.3%
200000 1
1.3%
250000 2
2.6%
300000 1
1.3%
400000 1
1.3%
500000 1
1.3%
1200000 1
1.3%
2800000 1
1.3%
3600000 1
1.3%
Sysmiss 2545
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
Question post text
PROVIDE ESTIMATED VALUE FOR PAYMENTS IN KIND. (THEN, go to Q22)
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